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Inducing constraint activity in innovative design

  • Jonathan Cagan (a1) and Alice M. Agogino (a2)

In this paper, a methodology for inducing trends in a first principle reasoning system for design innovation is presented. Dimensional Variable Expansion is used in 1stPRINCE (FIRST PRINciple Computational Evaluator) to create additional design variables and introduce new prototypes. Trends are observed at each generation of the prototype and induction is used to predict optimal constraint activity at the limit of the iterative procedure. The inductive mechanism is applied to a constant-radius beam under flexural load and a tapered beam of varying radius and superior performance is derived. A circular wheel is created from a primitive-prototype consisting of a rectangular, spinning block that is optimized for minimum resistance to spinning. Although presented as a technique to perform innovative design, the inductive methodology can also be utilized as an AI approach to shape optimization.

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A. M. Agogino and A. S. Almgren 1987. Techniques for integrating qualitative reasoning and symbolic computation in engineering optimization. Engineering Optimization 12(2), 117135.

A. Almgren and A. M. Agogino 1989. A generalization and correction of the welded beam optimal design problem using symbolic computation. ASME Journal of Mechanisms, Transmissions, and Automation in Design 111(1), 137140.

R. T. Haftka and R. V. Grandhi 1986. Structural shape optimization—a survey. Computer Methods in Applied Mechanics and Engineering, 57, 91106.

P. Jain and A. M. Agogino 1990. Theory of design: an optimization perspective. Journal of Mechanism and Machine Theory 25(3), 287303.

R. S. Michalski 1983. A theory and methodology of inductive learning. In Machine Learning: An Artificial Intelligence Approach ( R. S. Michalski , J. G. Carbonell and T. M. Mitchell , eds), pp. 83134. Los Altos, CA: Morgan Kaufman.

P. Papalambros 1982. Monotonicity in goal and geometric programming. Journal of Mechanical Design 104, 108113.

P. Papalambros and D. J. Wilde 1979. Global non-iterative design optimization using monotonicity analysis. Journal of Mechanical Design 101, 645649.

D. J. Wilde 1986. A maximal activity principle for eliminating overconstrained optimization cases. Transactions of the ASME, Journal of Mechanisms, Transmissions, and Automation in Design 108, 312314.

R. J. Yang and M. E. Botkin 1987. A modular approach for three-dimensional shape optimization of structures. AIAA Journal 25(3), 492497.

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  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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